Yogesh A. Kulkarni
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities 15
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- Phytochemicals and Medicinal Plants 12
- Medicinal Plants and Neuroprotection 9
- Clinical Biochemistry top 1%
- Advanced Glycation End Products research 21
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- Natural Antidiabetic Agents Studies 39
- Diet, Metabolism, and Disease 9
- Pharmacology top 1%
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- Phytochemistry and Biological Activities 10
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- Chronic Kidney Disease and Diabetes 8
- Co-authors
- Ankit P. LaddhaManisha J. OzaSachin V. SuryavanshiSarika WairkarAnil Bhanudas GaikwadShrikant R. MulayNisha SharmaVeeranjaneyulu Addepalli
- Journals
- Brain Research (2 papers)The FASEB Journal (5 papers)Free Radical Biology and Medicine (1 paper)
- Partner nations
- IndiaMalaysiaUnited States
In The Last Decade
Yogesh A. Kulkarni
125 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 152
- Biochemistry 276
- Complementary and alternative medicine 379
- Clinical Biochemistry 273
- Endocrinology, Diabetes and Metabolism 587
- Pharmacology 302
Countries citing papers authored by Yogesh A. Kulkarni
This map shows the geographic impact of Yogesh A. Kulkarni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yogesh A. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yogesh A. Kulkarni more than expected).
Fields of papers citing papers by Yogesh A. Kulkarni
This network shows the impact of papers produced by Yogesh A. Kulkarni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yogesh A. Kulkarni. The network helps show where Yogesh A. Kulkarni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yogesh A. Kulkarni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 14 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 17 | |
| 16 | 2019 | 21 | |
| 17 | 2019 | 64 | |
| 18 | 2012 | 20 | |
| 19 | 2011 | 1 | |
| 20 | Pharmacognostical studies of leaves of Machilus macrantha nees | 2008 | 2 |
About Yogesh A. Kulkarni
Yogesh A. Kulkarni is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Complementary and alternative medicine, having authored 135 papers that have together received 3.2k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (39 papers), Advanced Glycation End Products research (21 papers), Phytochemicals and Antioxidant Activities (15 papers), Phytochemicals and Medicinal Plants (12 papers), Phytochemistry and Biological Activities (10 papers), Medicinal Plants and Neuroprotection (9 papers), Diet, Metabolism, and Disease (9 papers) and Chronic Kidney Disease and Diabetes (8 papers). The work is most often cited by research in Biochemistry (276 citations), Complementary and alternative medicine (379 citations) and Clinical Biochemistry (273 citations). Yogesh A. Kulkarni has collaborated with scholars based in India, Malaysia and United States. Frequent co-authors include Ankit P. Laddha, Manisha J. Oza, Sachin V. Suryavanshi, Sarika Wairkar, Anil Bhanudas Gaikwad, Shrikant R. Mulay, Nisha Sharma, Veeranjaneyulu Addepalli, Himanshu Sankrityayan and Pravin Shende. Their work appears in journals such as Brain Research, The FASEB Journal and Free Radical Biology and Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.